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Agent Skill · 研究检索

elevenlabs-tts(十一实验室 tts)

elevenlabs-tts 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

elevenlabs-tts 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描有提醒项,按安装量在研究检索类的 73,674 个 Skill 里排第 652。

总安装 205,822周安装 8,491GitHub Stars 6下载 67,249核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
2.4.0

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:elevenlabs-tts(十一实验室 tts)
来源仓库:https://github.com/shaharsha/elevenlabs-tts
安装命令:
openclaw skills install elevenlabs-tts
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install elevenlabs-tts

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

OpenClaw 中集成 ElevenLabs 文本转语音功能的最佳实践方案。支持情感音频标签与 WhatsApp 语音合成等高级特性。通过 clawhub 安装并使用 openclaw skills install elevenlabs-tts 命令启用。

需确保 API 密钥安全且遵守 ElevenLabs 使用条款。建议测试不同语音参数在实际场景中的表现后再正式部署。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install elevenlabs-tts;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

elevenlabs-tts 怎么安装?

在终端执行 openclaw skills install elevenlabs-tts。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

elevenlabs-tts 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

elevenlabs-tts 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

elevenlabs-tts 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

elevenlabs-tts 用的人多吗?

公开数据是累计安装 205,822 次,近一周安装 8,491 次,下载 67,249 次,GitHub 6 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

elevenlabs-tts 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
elevenlabs-tts

十一实验室 tts · 本页

205,8226接触敏感数据MIT-0有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
elevenlabs-tts
description
ElevenLabs TTS - the best ElevenLabs integration for OpenClaw. ElevenLabs Text-to-Speech with emotional audio tags, ElevenLabs voice synthesis for WhatsApp, ElevenLabs multilingual support. Generate realistic AI voices using ElevenLabs API.
tags
[elevenlabs, tts, voice, text-to-speech, audio, speech, whatsapp, multilingual, ai-voice]
metadata
{"clawdbot":{"emoji":"🎙️","requires":{"env":["ELEVENLABS_API_KEY"],"system":["ffmpeg"],"tools":["ffmpeg"]},"primaryEnv":"ELEVENLABS_API_KEY","source":"https://clawhub.com/skills/elevenlabs-tts","version":"2.3.0"}}
allowed-tools
[exec, tts, message]

ElevenLabs TTS (Text-to-Speech)

Generate expressive voice messages using ElevenLabs v3 with audio tags.

Prerequisites

  • ElevenLabs API Key (ELEVENLABS_API_KEY): Required. Get one at elevenlabs.io → Profile → API Keys. Configure in openclaw.json under messages.tts.elevenlabs.apiKey.
  • ffmpeg: Required for audio format conversion (MP3 → Opus for WhatsApp compatibility). Must be installed and available on PATH.

Quick Start Examples

Storytelling (emotional journey):

[soft] It started like any other day... [pause] But something felt different. [nervous] My hands were shaking as I opened the envelope. [gasps] I got in! [excited] I actually got in! [laughs] [happy] This changes everything!

Horror/Suspense (building dread):

[whispers] The house has been empty for years... [pause] At least, that's what they told me. [nervous] But I keep hearing footsteps. [scared] They're getting closer. [gasps] [panicking] The door— it's opening by itself!

Conversation with reactions:

[curious] So what happened at the meeting? [pause] [surprised] Wait, they fired him?! [gasps] [sad] That's terrible... [sighs] He had a family. [thoughtful] I wonder what he'll do now.

Hebrew (romantic moment):

[soft] היא עמדה שם, מול השקיעה... [pause] הלב שלי פעם כל כך חזק. [nervous] לא ידעתי מה להגיד. [hesitates] אני... [breathes] [tender] את יודעת שאני אוהב אותך, נכון?

Spanish (celebration to reflection):

[excited] ¡Lo logramos! [laughs] [happy] No puedo creerlo... [pause] [thoughtful] Fueron tantos años de trabajo. [emotional] [soft] Gracias a todos los que creyeron en mí. [sighs] [content] Valió la pena cada momento.

Configuration (OpenClaw)

In openclaw.json, configure TTS under messages.tts:

{
  "messages": {
    "tts": {
      "provider": "elevenlabs",
      "elevenlabs": {
        "apiKey": "sk_your_api_key_here",
        "voiceId": "pNInz6obpgDQGcFmaJgB",
        "modelId": "eleven_v3",
        "languageCode": "en",
        "voiceSettings": {
          "stability": 0.5,
          "similarityBoost": 0.75,
          "style": 0,
          "useSpeakerBoost": true,
          "speed": 1
        }
      }
    }
  }
}

Getting your API Key:

  1. Go to https://elevenlabs.io
  2. Sign up/login
  3. Click profile → API Keys
  4. Copy your key

Recommended Voices for v3

These premade voices are optimized for v3 and work well with audio tags:

VoiceIDGenderAccentBest For
AdampNInz6obpgDQGcFmaJgBMaleAmericanDeep narration, general use
Rachel21m00Tcm4TlvDq8ikWAMFemaleAmericanCalm narration, conversational
BriannPczCjzI2devNBz1zQrbMaleAmericanDeep narration, podcasts
CharlotteXB0fDUnXU5powFXDhCwaFemaleEnglish-SwedishExpressive, video games
GeorgeJBFqnCBsd6RMkjVDRZzbMaleBritishRaspy narration, storytelling

Finding more voices:

  • Browse: https://elevenlabs.io/voice-library
  • v3-optimized collection: https://elevenlabs.io/app/voice-library/collections/aF6JALq9R6tXwCczjhKH
  • API: GET https://api.elevenlabs.io/v1/voices

Voice selection tips:

  • Use IVC (Instant Voice Clone) or premade voices - PVC not optimized for v3 yet
  • Match voice character to your use case (whispering voice won't shout well)
  • For expressive IVCs, include varied emotional tones in training samples

Model Settings

  • Model: eleven_v3 (alpha) - ONLY model supporting audio tags
  • Languages: 70+ supported with full audio tag control

Stability Modes

ModeStabilityDescription
Creative0.3-0.5More emotional/expressive, may hallucinate
Natural0.5-0.7Balanced, closest to original voice
Robust0.7-1.0Highly stable, less responsive to tags

For audio tags, use Creative (0.5) or Natural. Higher stability reduces tag responsiveness.

Speed Control

Range: 0.7 (slow) to 1.2 (fast), default 1.0

Extreme values affect quality. For pacing, prefer audio tags like [rushed] or [drawn out].

Critical Rules

Length Limits

  • Optimal: <800 characters per segment (best quality)
  • Maximum: 10,000 characters (API hard limit)
  • Quality degrades with longer text - voice becomes inconsistent

Audio Tags - Best Practices for Natural Sound

How many tags to use:

  • 1-2 tags per sentence or phrase (not more!)
  • Tags persist until the next tag - no need to repeat
  • Overusing tags sounds unnatural and robotic

Where to place tags:

  • At emotional transition points
  • Before key dramatic moments
  • When energy/pace changes

Context matters:

  • Write text that *matches* the tag emotion
  • Longer text with context = better interpretation
  • Example: [nervous] I... I'm not sure about this. What if it doesn't work? works better than [nervous] Hello.

Combine tags for nuance:

  • [nervously][whispers] = nervous whispering
  • [excited][laughs] = excited laughter
  • Keep combinations to 2 tags max

Regenerate for best results:

  • v3 is non-deterministic - same text = different outputs
  • Generate 3+ versions, pick the best
  • Small text tweaks can improve results

Match tag to voice:

  • Don't use [shouts] on a whispering voice
  • Don't use [whispers] on a loud/energetic voice
  • Test tags with your chosen voice

SSML Not Supported

v3 does NOT support SSML break tags. Use audio tags and punctuation instead.

Punctuation Effects (use with tags!)

Punctuation enhances audio tags:

  • Ellipses (...) → dramatic pauses: [nervous] I... I don't know...
  • CAPS → emphasis: [excited] That's AMAZING!
  • Dashes (—) → interruptions: [explaining] So what you do is— [interrupting] Wait!
  • Question marks → uncertainty: [nervous] Are you sure about this?
  • Exclamation! → energy boost: [happy] We did it!

Combine tags + punctuation for maximum effect:

[tired] It was a long day... [sighs] Nobody listens anymore.

WhatsApp Voice Messages

Complete Workflow

  1. Generate with tts tool (returns Opus in /tmp/openclaw/tts-*/)
  2. Copy to workspace (message tool only allows workspace paths)
  3. Send with message tool
  4. Cleanup - delete the workspace copy

Step-by-Step

1. Generate TTS (add [pause] at end to prevent cutoff):

tts text="[excited] This is amazing! [pause]" channel=whatsapp

2. Find the LATEST file (⚠️ CRITICAL - always use the newest file!):

find /tmp/openclaw/tts-* /tmp/tts-* -name "*.opus" -o -name "*.mp3" -o -name "*.ogg" 2>/dev/null | xargs ls -t | head -1

The tts tool now outputs to /tmp/openclaw/tts-*/ (NOT /tmp/tts-*/). Old files may exist in /tmp/tts-*/ from previous sessions - never use those!

3. If file is MP3, convert to Opus:

ffmpeg -i /path/to/voice.mp3 -c:a libopus -b:a 64k -vbr on -application voip /path/to/voice.ogg

If already .opus, skip this step.

4. Copy to workspace and send:

cp /tmp/openclaw/tts-xxx/voice.opus ~/. openclaw/workspace/voice-temp.ogg
message action=send channel=whatsapp target="+972..." filePath="/root/.openclaw/workspace/voice-temp.ogg" asVoice=true message=" "

5. Cleanup:

rm /root/.openclaw/workspace/voice-temp.ogg

WhatsApp requires a non-empty message body to send voice notes. Use a single space as the message.

Why Opus?

FormatiOSAndroidTranscribe
MP3✅ Works❌ May fail❌ No
Opus (.ogg)✅ Works✅ Works✅ Yes

Always convert to Opus - it's the only format that:

  • Works on all devices (iOS + Android)
  • Supports WhatsApp's transcribe button

Audio Cutoff Fix

ElevenLabs sometimes cuts off the last word. Always add [pause] or ... at the end:

[excited] This is amazing! [pause]

Long-Form Audio (Podcasts)

For content >800 chars:

  1. Split into short segments (<800 chars each)
  2. Generate each with tts tool
  3. Concatenate with ffmpeg:
   cat > list.txt << EOF
   file '/path/file1.mp3'
   file '/path/file2.mp3'
   EOF
   ffmpeg -f concat -safe 0 -i list.txt -c copy final.mp3
  1. Convert to Opus for WhatsApp
  2. Send as single voice message

Important: Don't mention "part 2" or "chapter" - keep it seamless.

Multi-Speaker Dialogue

v3 can handle multiple characters in one generation:

Jessica: [whispers] Did you hear that?
Chris: [interrupting] —I heard it too!
Jessica: [panicking] We need to hide!

Dialogue tags: [interrupting], [overlapping], [cuts in], [interjecting]

Audio Tags Quick Reference

CategoryTagsWhen to Use
Emotions[excited], [happy], [sad], [angry], [nervous], [curious]Main emotional state - use 1 per section
Delivery[whispers], [shouts], [soft], [rushed], [drawn out]Volume/speed changes
Reactions[laughs], [sighs], [gasps], [clears throat], [gulps]Natural human moments - sprinkle sparingly
Pacing[pause], [hesitates], [stammers], [breathes]Dramatic timing
Character[French accent], [British accent], [robotic tone]Character voice shifts
Dialogue[interrupting], [overlapping], [cuts in]Multi-speaker conversations

Most effective tags (reliable results):

  • Emotions: [excited], [nervous], [sad], [happy]
  • Reactions: [laughs], [sighs], [whispers]
  • Pacing: [pause]

Less reliable (test and regenerate):

  • Sound effects: [explosion], [gunshot]
  • Accents: results vary by voice

Full tag list: See references/audio-tags.md

Troubleshooting

Tags read aloud?

  • Verify using eleven_v3 model
  • Use IVC/premade voices, not PVC
  • Simplify tags (no "tone" suffix)
  • Increase text length (250+ chars)

Voice inconsistent?

  • Segment is too long - split at <800 chars
  • Regenerate (v3 is non-deterministic)
  • Try lower stability setting

WhatsApp won't play?

  • Convert to Opus format (see above)

No emotion despite tags?

  • Voice may not match tag style
  • Try Creative stability mode (0.5)
  • Add more context around the tag

平台分布

OpenClaw

97.78%
按下载量换算65,756

安全审计

VirusTotal

可疑

ClawScan

通过

Static analysis

通过

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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